| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| - image-to-image |
| tags: |
| - medical |
| - neuroimaging |
| - stroke |
| - image-fusion |
| pretty_name: APIS Stroke Dataset (Lesion Cases Only) |
| size_categories: |
| - n<1K |
| --- |
| |
| # APIS Stroke Dataset - Preprocessed (Lesion Cases Only) |
|
|
| This dataset contains **54 acute ischemic stroke cases** with expert lesion annotations from the APIS dataset. |
|
|
| ## Dataset Structure |
|
|
| ``` |
| preproc/ |
| train_000/ |
| ct.nii.gz # CT scan |
| mri.nii.gz # Registered MRI (ADC) |
| brain_mask.nii.gz # Brain ROI mask (TotalSegmentator) |
| bone_mask.nii.gz # Bone/skull ROI mask (TotalSegmentator) |
| lesion_mask.nii.gz # Expert-annotated lesion segmentation |
| train_001/ |
| ... |
| (54 cases total) |
| |
| splits/ |
| train.txt # 37 cases (68.5%) |
| val.txt # 8 cases (14.8%) |
| test.txt # 9 cases (16.7%) |
| split_metadata.json # Split statistics |
| ``` |
|
|
| ## Excluded Cases |
|
|
| 6 cases without lesions were excluded: |
| - train_027, train_038, train_048, train_051, train_058, train_059 |
|
|
| ## Usage |
|
|
| ```python |
| from pathlib import Path |
| import nibabel as nib |
| |
| # Download dataset |
| from huggingface_hub import snapshot_download |
| data_dir = snapshot_download(repo_id="Pakawat-Phasook/ClinFuseDiff-APIS-Data", repo_type="dataset") |
| |
| # Load a case |
| case_dir = Path(data_dir) / "preproc" / "train_000" |
| ct = nib.load(case_dir / "ct.nii.gz") |
| mri = nib.load(case_dir / "mri.nii.gz") |
| lesion_mask = nib.load(case_dir / "lesion_mask.nii.gz") |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{li2023apis, |
| title={APIS: A paired CT-MRI dataset with lesion labels for acute ischemic stroke}, |
| author={Li, Zongwei and others}, |
| journal={Scientific Data}, |
| year={2023} |
| } |
| ``` |
|
|
| ## Preprocessing |
|
|
| - **Registration**: MRI (ADC) registered to CT using ANTs SyN |
| - **ROI Masks**: Generated using TotalSegmentator v2 |
| - **Normalization**: CT windowed to brain (C=40, W=400 HU) |
| - **Format**: NIfTI (.nii.gz), isotropic 1mm spacing |
|
|
| ## License |
|
|
| CC-BY-4.0 (original APIS dataset license) |
|
|
